MongoDB
Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting‑edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.
Position Overview We are seeking a Senior Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks.
Responsibilities
Conduct cutting‑edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers.
Innovate in next‑generation information retrieval and LLM agent paradigm.
Collaborate closely with other research scientists and research engineers as well as peers across the organization.
Qualifications
PhD degree in Computer Science or related field
Strong background in machine learning, deep learning, and natural language processing
Familiarity with training distributed training of neural networks for language and visual understanding
What We Offer
Opportunity to work on real-world problems at the cutting edge of AI research
Opportunity to utilize research vision to innovate the entire company and make real-world impact
Exposure to the full lifecycle of AI model development, from research to production
Our compensation (base + equity) for this position is competitive with frontier AI labs
About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud‑native platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Position Overview We are seeking a Senior Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks.
Responsibilities
Conduct cutting‑edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers.
Innovate in next‑generation information retrieval and LLM agent paradigm.
Collaborate closely with other research scientists and research engineers as well as peers across the organization.
Qualifications
PhD degree in Computer Science or related field
Strong background in machine learning, deep learning, and natural language processing
Familiarity with training distributed training of neural networks for language and visual understanding
What We Offer
Opportunity to work on real-world problems at the cutting edge of AI research
Opportunity to utilize research vision to innovate the entire company and make real-world impact
Exposure to the full lifecycle of AI model development, from research to production
Our compensation (base + equity) for this position is competitive with frontier AI labs
About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud‑native platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#J-18808-Ljbffr